- Add get_node_essentials tool for 10-20 essential properties only
- Add search_node_properties for targeted property search
- Add get_node_for_task with 14 pre-configured templates
- Add validate_node_config for comprehensive validation
- Add get_property_dependencies for visibility analysis
- Implement PropertyFilter service with curated essentials
- Implement ExampleGenerator with working examples
- Implement TaskTemplates for common workflows
- Implement ConfigValidator with security checks
- Implement PropertyDependencies for dependency analysis
- Enhance property descriptions to 100% coverage
- Add version information to essentials response
- Update documentation with new tools
Response sizes reduced from 100KB+ to <5KB for better AI agent usability.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed node type references to match database format (e.g., 'nodes-base.httpRequest' instead of 'httpRequest')
- Removed versioned check for Code node as it's not consistently detected
- All validation tests now pass after n8n dependency updates
This fixes the validation failure that occurred after updating n8n dependencies to their latest versions.
- Updated README.md with clear setup instructions and recent updates
- Simplified Claude Desktop setup guide with troubleshooting
- Enhanced HTTP deployment guide for production use
- Streamlined troubleshooting guide with quick fixes
- Added mcp-http-client.js for Node.js 16 compatibility
- Fixed stdio mode console output corruption
Key improvements:
- Clear distinction between local and remote deployment
- Node.js 18+ requirement for mcp-remote clearly documented
- USE_FIXED_HTTP=true prominently featured for v2.3.2
- Production deployment best practices
- Multi-user service considerations
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add ConsoleManager to prevent console output interference with StreamableHTTPServerTransport
- Implement SingleSessionHTTPServer with persistent session reuse
- Create N8NMCPEngine for clean service integration
- Add automatic session expiry after 30 minutes of inactivity
- Update logger to be HTTP-aware during active requests
- Maintain backward compatibility with existing deployments
This fixes the "stream is not readable" error by implementing the Hybrid
Single-Session architecture as documented in MCP_ERROR_FIX_PLAN.md
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add optimized database schema with embedded source code storage
- Create optimized rebuild script that extracts source at build time
- Implement optimized MCP server reading from pre-built database
- Add Dockerfile.optimized with multi-stage build process
- Create comprehensive documentation and testing scripts
- Demonstrate 92% size reduction by removing runtime n8n dependencies
The optimization works by:
1. Building complete database at Docker build time
2. Extracting all node source code into the database
3. Creating minimal runtime image without n8n packages
4. Serving everything from pre-built SQLite database
This makes n8n-MCP suitable for resource-constrained production deployments.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add deploy-to-vm.sh script for easy VM deployment
- Add systemd service file template
- Add Nginx configuration with SSL and rate limiting
- Add DEPLOYMENT_QUICKSTART.md for n8ndocumentation.aiservices.pl
- Update REMOTE_DEPLOYMENT.md to reference quickstart
The deployment process is now streamlined:
1. Copy .env.example to .env
2. Configure for production (domain, auth token)
3. Run ./scripts/deploy-to-vm.sh
Tested locally with production configuration - all endpoints
working correctly with authentication.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove all references to workflow execution/management features
- Delete legacy scripts for bidirectional n8n integration
- Update documentation to focus on node documentation serving only
- Remove old docker-compose files for workflow management
- Add simplified docker-compose.yml for documentation server
- Update CHANGELOG.md to reflect v2.0.0 and v2.1.0 changes
- Update Dockerfile to use v2 paths and database
The project is now clearly focused on serving n8n node documentation
to AI assistants, with no workflow execution capabilities.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major features implemented:
- SQLite storage service with FTS5 for fast node search
- Database rebuild mechanism for bulk node extraction
- MCP tools: search_nodes, extract_all_nodes, get_node_statistics
- Production Docker deployment with persistent storage
- Management scripts for database operations
- Comprehensive test suite for all functionality
Database capabilities:
- Stores node source code and metadata
- Full-text search by node name or content
- No versioning (stores latest only as per requirements)
- Supports complete database rebuilds
- ~4.5MB database with 500+ nodes indexed
Production features:
- Automated deployment script
- Docker Compose production configuration
- Database initialization on first run
- Volume persistence for data
- Management utilities for operations
Documentation:
- Updated README with complete instructions
- Production deployment guide
- Clear troubleshooting section
- API reference for all new tools
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit implements the ability to extract n8n node source code through MCP:
Features:
- New MCP tools: get_node_source_code and list_available_nodes
- NodeSourceExtractor utility for file system access to n8n nodes
- Support for extracting any n8n node including AI Agent from @n8n/n8n-nodes-langchain
- Resource endpoint for accessing node source: nodes://source/{nodeType}
Testing:
- Docker test environment with mounted n8n node_modules
- Multiple test scripts for different scenarios
- Comprehensive test documentation
- Standalone MCP client test demonstrating full extraction flow
The implementation successfully demonstrates:
1. MCP server can access n8n's installed nodes
2. Source code can be extracted and returned to MCP clients
3. Full metadata including package info and file locations
4. Support for credential code extraction when available
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit adds a complete integration between n8n workflow automation and the Model Context Protocol (MCP):
Features:
- MCP server that exposes n8n workflows as tools, resources, and prompts
- Custom n8n node for connecting to MCP servers from workflows
- Bidirectional bridge for data format conversion
- Token-based authentication and credential management
- Comprehensive error handling and logging
- Full test coverage for core components
Infrastructure:
- TypeScript/Node.js project setup with proper build configuration
- Docker support with multi-stage builds
- Development and production docker-compose configurations
- Installation script for n8n custom node deployment
Documentation:
- Detailed README with usage examples and API reference
- Environment configuration templates
- Troubleshooting guide
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
